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28,188 Article Results

Optimal Location of SVC using Particle Swarm Optimization and Voltage Stability Indexes

10.11591/ijece.v6i6.pp2581-2588
M.N. Dazahra , F. Elmariami , A. Belfqih , J. Boukherouaa
Flexible AC transmission system are widley used in power sytems to ensure voltage stability, in virtue of their high cost the choise of the best location in electrical network is essential. The porpose of this paper is to present a new method for finding the optimal location, size and number of Static Var Compensator in order to enhace the voltage stability of electrical network. The optimal solution has been found by using the evolutionary programming algorithm, particle swarm optimization, combined with voltage stability indexes used for the estimation of the voltage collapse in power systems.The proposed algorithm has been validated by application on both simulation network model IEEE 30-Buses under different load cases and the electric network model of Casablanca region in Morocco.The results of the application have been analysed and compared in each case in order to get the optimal number of Static Var Compensator to be used.
Volume: 6
Issue: 6
Page: 2581-2588
Publish at: 2016-12-01

Transient Analysis of Switching the Distributed Generation Units in Distribution Networks

10.11591/ijape.v5.i3.pp130-136
Mehrnoosh Vatani
Adding distributed Generators (DGs) to the passive electrical networks causes major changes in the specifications of the network including voltage profile, short circuit level and transient stability. In this paper, the effect of DGs switching transient in network is considered. The DGs location are changed in different buses. Two types of DGs are used (i.e. wind and synchronous DGs). Switching transient signals are time variant. It has a continuous spectrum of frequency. Fast Fourier and Wavelet transform methods are used for transient analysis. The proposed method is applied to IEEE-13 Bus distribution system.
Volume: 5
Issue: 3
Page: 130-136
Publish at: 2016-12-01

Location Based Services with Location Centric Profiles

10.11591/ijece.v6i6.pp3001-3005
M.Ferni Ukrit , B. Venkatesh , Swetabh Suman
In the advancing world of technology, Mobile applications are a rapidly growing segment of the global mobile market. Mobile applications are evolving at a meteor pace to give users a rich and fast user experience. Android operating system supports most applications in today’s technical world. It is an open source operating system which highly satisfies the user’s needs. In this paper, the applications that are location based i.e. the applications that make use of the Global Positioning System (GPS) is discussed. It is a space based satellite navigation system which provides details of time and location in all weather conditions anywhere on or near earth. We introduce PROFILER, a framework for constructing location centric profiles (LCPs), aggregates built over the profiles of users that have visited discrete locations. In addition to a venue centric approach, we propose a decentralized solution for computing real time LCP snapshots over the profiles of collocated users. In our System we find the corresponding location using Global Positioning and Service Provider also. This is to change the profile mode automatically and alarm notification enable automatically when you are going to reach corresponding location or Regular Location.
Volume: 6
Issue: 6
Page: 3001-3005
Publish at: 2016-12-01

EEG Based Eye State Classification using Deep Belief Network and Stacked AutoEncoder

10.11591/ijece.v6i6.pp3131-3141
Sanam Narejo , Eros Pasero , Farzana Kulsoom
A Brain-Computer Interface (BCI) provides an alternative communication interface between the human brain and a computer. The Electroencephalogram (EEG) signals are acquired, processed and machine learning algorithms are further applied to extract useful information.  During  EEG acquisition,   artifacts  are induced due to involuntary eye movements or eye blink, casting adverse effects  on system performance. The aim of this research is to predict eye states from EEG signals using Deep learning architectures and present improved classifier models. Recent studies reflect that Deep Neural Networks are trending state of the art Machine learning approaches. Therefore, the current work presents the implementation of  Deep Belief Network (DBN) and Stacked AutoEncoders (SAE) as Classifiers with encouraging performance accuracy.  One of the designed  SAE models outperforms the  performance of DBN and the models presented in existing research by an impressive error rate of 1.1% on the test set bearing accuracy of 98.9%. The findings in this study,  may provide a contribution towards the state of  the  art performance on the problem of  EEG based eye state classification.
Volume: 6
Issue: 6
Page: 3131-3141
Publish at: 2016-12-01

Convergence Evaluation of a Load Flow Method based on Cespedes' Approach to Distribution System Analysis

10.11591/ijece.v6i6.pp3276-3282
Diego Issicaba , Jorge Coelho
This paper evaluates the convergence of a load flow method based on Cespedes' formulation to distribution system steady-state analysis. The method is described and the closed-form of its convergence rate is deduced. Furthermore, convergence dependence of loading and the consequences of choosing particular initial estimates are verified mathematically. All mathematical results have been tested in numerical simulations, some of them presented in the paper.
Volume: 6
Issue: 6
Page: 3276-3282
Publish at: 2016-12-01

Flexible Power Regulation of Grid-Connected Inverters for PV Systems Using Model Predictive Direct Power Control

10.11591/ijeecs.v4.i3.pp508-519
R S Ravi Sankar , S.V. Jayaram Kumar , K. K. Deepika
This paper presents a Model Predictive Direct Power Control (MPDPC) strategy for a grid-connected inverter used in a photovoltaic system, as found in many distributed generating installations. The controller uses a system model to predict the system behavior at each sampling instant. Using a cost function, the voltage vector with least power ripple is generated. The resultant voltage vector is applied during the next sampling period which gives flexible power regulation. The effectiveness of the proposed MPDPC strategy is verified using MATLAB/ SIMULINK. 
Volume: 4
Issue: 3
Page: 508-519
Publish at: 2016-12-01

Assessing State of the Art on Artificial Neural Network Paradigms for Level of Eutrophication Estimation of Water Bodies

10.11591/ijai.v5.i4.pp135-142
Tushar Anthwal , M K Pandey
With growing power of computer and blend of intelligent soft wares, the interpretation and analytical capabilities of the system had shown an excellent growth, providing intelligence solutions to almost every computing problem. In this direction here we are trying to identify how different geocomputation techniques had been implemented for estimation of parameters on water bodies so as to identify the level of contamination leading to the different level of eutrophication. The main mission of this paper is to identify state-of-art in artificial neural network paradigms that are prevailing and effective in modeling and combining spatial data for anticipation. Among this, our interest is to identify different analysis techniques and their parameters that are mainly used for quality inspection of lakes and estimation of nutrient pollutant content in it, and different neural network models that offered the forecasting of level of eutrophication in the water bodies. Different techniques are analyzed over the main steps;-assimilation of spatial data, statistical interpretation technique, observed parameters used for eutrophication estimation and accuracy of resultant data.
Volume: 5
Issue: 4
Page: 135-142
Publish at: 2016-12-01

Protection Coordination and Anti Islanding Protection Solution for Biomass Power Plant Connected on Distribution Network

10.11591/ijece.v6i6.pp2526-2537
Srete N Nikolovski , Marko Vukobratović , Ljubomir Majdandzic
Protection coordination as well as anti-island protection play significant role in the process of biomass power plant connection on the distribution network. Distribution generation island operation in Croatia is unacceptable according to the existing National grid code Paper presents a protection coordination of all passive protections used in the real biomass power plant and connected distriubution network feeder. Short-circuits three phase, two phase and single line to ground faults and generator islanding simulations have been performed and simulated in the time domain at the different network  locations using DIgSILENT Power Factory software. The time-current plots coordination of protective devices are made using Smart PDC module in Easy Power Protector software tool.
Volume: 6
Issue: 6
Page: 2526-2537
Publish at: 2016-12-01

FPGA Hardware Realization: Addition of Two Digital Signals Based on Walsh Transforms

https://ijece.iaescore.com/index.php/IJECE/article/view/5880
Zulfikar Zulfikar , Shuja A Abbasi , Abdul Rahman M Alamoud
This paper presents hardware realization of addition of two digital signals based on Walsh transforms and inverse Walsh transforms targeted to the Xilinx FPGA Spartan 3 board. The realization utilizes Walsh Transform to convert the input data to frequency domain and the inverse Walsh transform to reconvert the data from frequency domain. The designed system is capable of performing addition, subtraction, multiplication and Arbitrary Waveform Generation (AWG). However, in the present work, the hardware realization of addition only has been demonstrated. The Clock frequency for realization into the board is supplied by an external function generator. Output results are captured using a logic analyzer. Input data to the board (system) is passed manually through the available slide switches on-board.
Volume: 6
Issue: 6
Page: 2688-2697
Publish at: 2016-12-01

A Multi-objective Hybrid Heuristic Approach for Optimal Setting of FACTS Devices in Power System Operation

10.11591/ijape.v5.i3.pp120-129
Sai Ram Inkollu , Venkata Reddy Kota
Improvement of power system performance in terms of increased voltage profile and decreased transmission loss is becoming one of the challenging tasks to the system operators under open access environment. Apart from traditional power flow controlling devices, use of Flexible AC Transmission System (FACTS) devices can give an attractive solution for the operation and control of deregulated power system. The type, size, location and number of FACTS devices are to be optimized appropriately in order to get the targeted benefits. In this paper, two FACTS devices, Thyristor Controller Phase Shift Transformer (TCPST) and Interline Power Flow Controller (IPFC) are selected to obtain the required performance such as improvement of voltage profile and loss minimization. To search the optimal location and optimal rating of the selected FACTS devices, a hybrid algorithm which formulated with Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA) is proposed. At the first step, the optimization problem is solved for finding the optimal location of FACTS devices using PSO with an objective of voltage profile maximization and later GSA is implemented to optimize their parameters with an objective of transmission loss minimization. The proposed method is implemented on IEEE 30-bus test system and from the simulation results it can be proved that this technique is well suited for real-time application.  
Volume: 5
Issue: 3
Page: 120-129
Publish at: 2016-12-01

Design of Single-Stage Flyback PFC Converter for LED Driver

10.12928/telkomnika.v14i4.3966
Wang; Xi’an Technological University Qi , Wu; Xi’an Technological University Jie , Baohua; Xi’an Technological University Lang
A light emitting diode (LED) driver based on single-stage power factor correction (PFC) is presented in this paper. The designed LED driver using flyback topology can achieve power factor correction and constant-current drive LED in boundary conduction mode. The circuit principle is described in detail, the formulas for MOS switch-on time, switching frequency and the main impact factor of power factor are proposed. The experiment results show that the designed LED driver has high power factor, stable output and it can drive the LED with high efficiency.
Volume: 14
Issue: 4
Page: 1263-1268
Publish at: 2016-12-01

Fault Diagnosis in Medium Voltage Drive Based on Combination of Wavelet transform and Support Vector Machine

10.12928/telkomnika.v14i4.4033
Xudong; China University of Petroleum Cao , Shaozhe; China University of Petroleum Zhou , Jingze; China University of Petroleum Li , Shaohua; China University of Petroleum Zhang
Nowadays, Medium Voltage Drive (MVD) has been widely applied in the field of high-powered motor speed-regulation. These types of converter use a lot of insulated gate bipolar translators (IGBTs). So it is very important to find an effective way to diagnose IGBT open-circuit faults. This study describes a method of diagnosis for IGBT open-circuit faults in MVD whose topology is cell series of multi-level. This method combines wavelet transform (WT) and support vector machine (SVM). The wavelet transform is used to extract fault features and SVM is used to classify the fault states of a single power unit. Then, the trained SVM classifier is used to scan all power units of MVD sequentially. Results of simulation on the platform of MATLAB/Simulink show that this method has a good diagnosis capability. It can diagnose the IGBT open-circuit faults of the whole inverter system, and diagnosis accuracy is up to 96%. So, this method has a good application prospect.
Volume: 14
Issue: 4
Page: 1284-1291
Publish at: 2016-12-01

Chaos-Enhanced Cuckoo Search for Economic Dispatch with Valve Point Effects

10.12928/telkomnika.v14i4.3473
M. W.; Universiti Teknologi Malaysia Mustafa , Abdirahman; Universiti Teknologi Malaysia M. Abdilahi , M.; Universiti Teknologi Malaysia Mustapha
Economic dispatch determines the optimal generation outputs to minimize the toal fuel cost while satisfying the load demand and operational constraints. Modern optimization techniques fail to solve the problem in a robust manner and finding robust global optimization techniques is necessary for efficient system operation. In this study, the potentiality of introducing chaos into the standard Cuckoo Search (CS) in order to further enhance its global search ability is investigated. Deterministic chaotic maps are random-based techniques that can provide a balanced exploration and exploitation searches for the algorithm. Four different variants are generated by carefully choosing four different locations (within the standard CS) with potential adoption of a candidate chaotic map.Then detailed studies are carried out on benchmark power system problems with four different locations to find out the most efficient one. The best of all test cases generated is chosen and compared with algorithms presented in the literature. The results show that the proposed method with the proposed chaotic map outperforms standard CS. Additionally, the chaos-enhanced CS has a very good performance in comparison with QPSO and NSS.
Volume: 14
Issue: 4
Page: 1220-1227
Publish at: 2016-12-01

Particle Filtering Approach for GNSS RAIM and FPGA Implementation

10.12928/telkomnika.v14i4.4196
Ershen; Shenyang Aerospace University Wang , Fuxia; Shenyang Aerospace University Yang , Gang; Liaoning General Aviation Key Laboratory, Shenyang Tong , Pingping; Shenyang Aerospace University Qu , Tao; Shenyang Aerospace University Pang
The integrity monitoring system, as an integral part of aviation navigation system for global navigation satellite system (GNSS), should detect and isolated Failures or faults caused by system failures to maintain the integrity of the GNSS. The pseudorange residual noise of navigation satellites does not completely follow the Gaussian distribution, the performance of traditional filtering algorithms (such as the Kalman filtering) may be reduced due to non-Gaussian noise. The particle filter algorithm has great advantage to dealing with the nonlinear and non-Gaussian system. in this paper, the particle filter algorithm is applied to GNSS receiver autonomous integrity monitoring(RAIM) to detect the fault of navigation satellite. Firstly, Log likelihood ratio (LLR) testing is established; and then, the consistency between the state estimation of the main particle filter and the auxiliary particle filter is checked to determine whether the navigation satellite has failed; finally, the novel RAIM algorithm is undertaken by field programmable gate array (FPGA), the modules of the proposed RAIM algorithm is implemented. The effectiveness of the proposed approach is illustrated in a problem of GPS (Global Positioning System) autonomous integrity monitoring system, the algorithm and its implementation can be embeded in GNSS receiver.
Volume: 14
Issue: 4
Page: 1321-1328
Publish at: 2016-12-01

Optimal Modulation Algorithm for Hybrid Clamped Three-Level Inverter

10.12928/telkomnika.v14i4.3871
Yi; China University of Mining and Technology Liu , Guojun; China University of Mining and Technology Tan , Xiaoqun; China University of Mining and Technology He
The principle of a three phase hybrid clamped three-level inverter was presented. Taking sixty-four switch states into consideration, the operational states of hybrid clamped three-level inverter and different current circuits in different switch states were detailed derived. Optimal modulation algorithm was proposed based on the neutral small vectors by different combination, which can realize the automatic balancing of the neutral-point voltage with few switching cycles and did not need to measure the voltage of the clamped capacitors. The proposed modulation algorithm was also capable of restraining the turn-off over-voltage of the power switching devices effectively. Simulation results were given to verify the feasibility and correctness. Experimental results obtained by DSP-based implementation of the controller on 1 MW prototype show good performance in terms of DC-bus voltages regulation (small neutral point potential function and low DC ripple coefficient) and good sinusoidal current.
Volume: 14
Issue: 4
Page: 1253-1262
Publish at: 2016-12-01
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